Exercise

kNN distance matrix

The kNN distance matrix is a necessary prior step to producing the kNN distance score. The distance matrix has

\(n\) rows, where \(n\) is the number of data points
\(k\) columns, where \(k\) is the user-chosen number of neighbors.

The entry in row i and column j of the distance matrix is the distance between point i and its jth nearest neighbor.

Instructions 1/4

undefined XP

1
2
3
4

Calculate the 5 nearest neighbors distance matrix for the wine data using the function get.knn().
Use the head() function to visualize the first 5 rows of the distance matrix.